In general, thin sheets are excellent candidates for computational modeling. Plenty of great work has been done to simulate thin sheet deformations using finite element methods (FEM) [1]}, [2]}, [3]}, [4]}, [5]}, and there are several models that successfully map regular discrete lattices to the bulk properties of a sheet [6]}, [7]}, [8]}. Less work, however, has been dedicated to mapping a microscopically random mesh's parameters to the bulk properties of the simulated sheet. Some models use a random mesh to approximate a constant bulk Young's modulus [9]}, [10]}, and others focus on making discretized bending realistic [11]}, [12]}, [13]}. But in some cases these models are inconsistent with analytical descriptions of regular meshes; what's more, a combined stretching and bending model has never been thoroughly tested. A discrete mesh model that can be directly compared to physical materials is infinitely useful and opens the door to generating large data sets useful for data-driven discovery methods.
